🌞 SolarSense: Ending Solar Uncertainty

🌍 Theme: Sustainability & Climate Action

πŸ’‘ Category: AI for Good


🧩 The Problem

Many people want to install solar panels β€” but they’re not sure if it’s truly worth it for their home or region.
Without clear local data, they risk spending thousands on systems that might not perform well due to shading, roof angle, or weather.

⚠️ Result: Uncertainty slows down the adoption of clean energy, leaving many potential users behind.


πŸ’‘ Our Solution β€” SolarSense

SolarSense is an AI-powered app that gives honest, data-based answers about whether solar panels are a smart choice for any user’s home.
It provides clear, personalized reports using real data β€” not guesses.

βš™οΈ How It Works

  • 🏠 User Input: Enter your address.
  • πŸ›° AI Scan: Uses satellite images to detect roof size, angle, and shading.
  • β˜€οΈ Local Data: Checks sunlight hours, cloud cover, and weather trends.
  • πŸ’° Smart Report: Calculates 10-year energy savings, ROI, and installation impact.

Users get a Solar Score (1–100) β€” a simple rating that tells them if solar panels make sense for them.


⚑ Innovation Over Current Methods

Current Tools SolarSense Advantage
Use broad regional averages Uses hyper-local data for exact results
Expensive in-person consultations 100% free and online
Biased contractor quotes Unbiased, AI-only assessment
Outdated models Real-time climate and shading updates

SolarSense gives homeowners clarity and confidence before they invest in solar energy.


🌱 Global Impact & Future Vision

Aligned with SDGs:

  • ⚑ SDG 7: Affordable and Clean Energy
  • 🌍 SDG 13: Climate Action

πŸ“Š Projected Impact

  • ♻️ 40% carbon reduction for homes installing solar via our app
  • 🏑 1.5M homes analyzed in the first 3 years
  • πŸ’· Β£25K average savings per home over system lifetime

πŸš€ Future Expansion

  • Integration with local energy providers for real-time pricing
  • Add-ons for battery storage and EV charging optimization
  • Building a verified contractor network rated by users

Built With

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